Nanodrug modified with engineered cancer cell membrane targets CDKs to activate PD-L1 antibody immunotherapy against liver metastasis of immune-desert colon cancer
RNA-seq (gene expression) · mouse · 12 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Mus musculus (mouse)
- Samples
- 12 samples: 12 samples, each with a distinct title — no replicated groupsGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Read the full summary ↓
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE238087_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA997945 and SRA study SRP451045. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 12 sample titles: 12 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM7658355 TAMC PBS [N1]
- GSM7658356 TAMC PBS [N2]
- GSM7658357 TAMC PBS [N3]
- GSM7658358 TAMC NP@M [N4]
- GSM7658359 TAMC NP@M [N5]
- GSM7658360 TAMC NP@M [N6]
- GSM7658361 TAMC NP-D@M [N7]
- GSM7658362 TAMC NP-D@M [N8]
- GSM7658363 TAMC NP-D@M [N9]
- GSM7658364 TAMC NP-D@MP [N10]
- GSM7658365 TAMC NP-D@MP [N11]
- GSM7658366 TAMC NP-D@MP [N12]
- GSE267312 Alterations of Ceramide Synthesis Induce PD-L1 Internalization and Signaling to Regulate Tumor Metastasis and Immunotherapy Response 16 samples shares pd-l1, immunotherapy, metastasis
- GSE212259 Whole-course Taming of Tumor-associated Macrophages from Central to Peripheral using Engineered Outer Membrane Vesicle Nanohybrids for Improved Immunotherapy [part 1: RNA-seq] 36 samples shares immunotherapy, engineered, membrane
- GSE244034 Tumor-targeting oncolytic viruses engineered for glioblastoma immunotherapy 48 samples shares immunotherapy, engineered
- GSE260816 Anti-TIGIT antibody improves PD-L1 blockade through myeloid and Treg cells 46 samples shares pd-l1
- GSE292146 Tractable mouse TNBC models capture the heterogeneous tumor immune microenvironment and adaptation to PD-L1 blockade 38 samples shares pd-l1
- GSE328461 Osteopontin mediates acquired resistance to hypoxia-inducing antiangiogenics and promotes anti-PD-L1 refractoriness in breast cancer models 37 samples shares pd-l1
- GSE324386 Transcriptomic profiling of CRISPR-Cas9 knockout of RAD51D, LIMCH1, and BRD9 in MC38 colorectal cancer cells reveals regulation of PD-L1 expression 29 samples shares pd-l1
- GSE277610 Endothelial PD-L1 brakes CD8+ T cell exhaustion, empowering anti-tumor immunity in non-small cell lung cancer 17 samples shares pd-l1
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.